Abstract

In this article, a novel dynamic economic load dispatch with emission based on a multi-objective model (MODEED) considering demand side management (DSM) is presented. Moreover, the investigation and evaluation of impacts of DSM for the next day are considered. In other words, the aim of economical load dispatch is the suitable and optimized planning for all power units considering different linear and non-linear constrains for power system and generators. In this model, different constrains such as losses of transformation network, impacts of valve-point, ramp-up and ramp-down, the balance of production and demand, the prohibited areas, and the limitations of production are considered as an optimization problem. The proposed model is solved by a novel modified multi-objective artificial bee colony algorithm (MOABC). In order to analyze the effects of DSM on the supply side, the proposed MODEED is evaluated on different scenarios with or without DSM. Indeed, the proposed MOABC algorithm tries to find an optimal solution for the existence function by assistance of crowding distance and Pareto theory. Crowding distance is a suitable criterion to estimate Pareto solutions. The proposed model is carried out on a six-unit test system, and the obtained numerical analyses are compared with the obtained results of other optimization methods. The obtained results of simulations that have been provided in the last section demonstrate the higher efficiency of the proposed optimization algorithm based on Pareto criterion. The main benefits of this algorithm are its fast convergence and searching based on circle movement. In addition, it is obvious from the obtained results that the proposed MODEED with DSM can present benefits for all consumers and generation companies.

Highlights

  • Electrical energy has particular downsides such as high cost, being time consuming, etc., and it is gradually is being replaced by other energies as a result

  • The proposed multi-objective artificial bee colony algorithm (MOABC) algorithm tries to find an optimal solution for the existence function by assistance of crowding distance and Pareto theory

  • The main benefits of this algorithm are its fast convergence and searching based on circle movement. It is obvious from the obtained results that the proposed MODEED with demand side management (DSM) can present benefits for all consumers and generation companies

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Summary

Introduction

Electrical energy has particular downsides such as high cost, being time consuming, etc., and it is gradually is being replaced by other energies as a result. The demand side management (DSM) of electricity consumption in recent years is considered one of the best and vital methods of maintaining common profits between the electricity industry and electrical energy consumers. DSM as a fundamental subject tries to change load consumption at peak-time to the form of long-term in dedicating resources regarding its numerous profits for both sides of the electricity industry and consumers [2,3]. The power markets have paid significant attention to the programs of DSM due to their benefits in financial and load profile [4]. DSM helps the electricity industry and consumers, it has effective benefits for generation

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